Research on Optimal Load Allocation in Power Network Under Multi-Objective Constraints
When certain areas of the power network are overloaded,it will lead to voltage drop and frequency instability,which in turn affects the normal work of electronic equipment and power supply quality.Reasonable and optimal allocation of loads in power network is a typical multi-objective optimization problem.In this regard,a multi-objective optimal allocation method of power network load is proposed.Taking load balance and power sum as the constraints,the optimal allocation model of power network load under multi-objective is established.Non-inferiority stratification theory is introduced to improve the differential particle swarm hybrid algorithm to solve the load optimization allocation model and obtain the solution set of load optimization allocation.Using the base point and entropy multi-indicator evaluation method,the unique solution is determined in the load optimization allocation solution set to complete the load optimization allocation of electric power network.The experimental results show that the method can effectively optimize the distribution of loads in the power grid,reduce the coal consumption of power supply,pollutant emissions and the number of units to be dispatched,shorten the load adjustment time,improve the output value of generating units in the power network,and have a high performance of load optimization.The research is of great significance in the field of smart grid and smart optimization,which can lead to more efficient and intelligent of power network operation and management.
Power networkMulti-objective optimizationDifferential particle swarm hybrid algorithmNon-inferiority stratification theoryMulti-indicator evaluationEnergy saving and emission reductionLoad distribution
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